Linking Animal Models and Human Diseases

Slides:



Advertisements
Similar presentations
Linkage and Genetic Mapping
Advertisements

Mouse Phenotype Ontology George Gkoutos. Phenotype Annotation Traditional phenotypic descriptions are captures as free text Information retrieval based.
Model Organism Databases: Community Data Sharing Supported by NIH P41 HG & the University of Oregon.
More than one way to dissect an animal Melissa Haendel ZFIN Scientific Curator.
Linking Animal Models to Human Diseases Supported by NIH P41 HG and U54 HG the University of Oregon, Eugene, OR.
The problem How to integrate the massive amounts of data on Drosophila neurobiology to explore anatomy, formulate hypotheses and find reagents?
Basics of Comparative Genomics Dr G. P. S. Raghava.
Linking Animal Models to Human Diseases Supported by NIH P41 HG and U54 HG the University of Oregon, Eugene, OR
PATO An Ontology of Phenotypic Qualities
Iowa State University Animal Science Department Bioinformatics & Computational Biology Program - 01/16/06 1 Overview of Animal Trait Ontology and PATO.
PATO & Phenotypes: From model organisms to clinical medicine Suzanna Lewis September 4th, 2008 Signs, Symptoms and Findings Workshop First Steps Toward.
Genome-Wide RNAi Analysis of Growth and Viability in Drosophila Cells Boutros et al.
Quantitative Genetics
Comparative Genomics of the Eukaryotes
Moving beyond free text. Authors Scientist does research Scientist publishes research results in journal article Old Paradigm:
Core 2: Bioinformatics CBio-Berkeley. Outline Berkeley group background Core 2 first round –what: aims, milestones –how: software lifecycle, interaction.
PATO An ontology for phenotypes. The development of PATO is the work of George Gkoutos, supported by the NCBO, working in Cambridge.
Relating Animal Model Phenotypes to Human Disease Genes Project Goals: To develop methods and syntax for describing phenotypes using ontologies To compare.
Phenoscape: Connectin g evolutionary phenotypes to genes Paula Mabee Hilmar Lapp, Todd Vision, Monte Westerfield Jim Balhoff, Wasila Dahdul, Peter Midford.
The National Center for Biomedical Ontology Stanford – Berkeley Mayo – Victoria – Buffalo UCSF – Oregon – Cambridge.
Phenote: new developments and new communities. A basic screen shot Entries are sorted by 'entity'
The Gene Ontology project Jane Lomax. Ontology (for our purposes) “an explicit specification of some topic” – Stanford Knowledge Systems Lab Includes:
Ontology of Disease and the OBO Foundry Chris Mungall NCBO GO Nov 2006.
Toward a Unified Gene Page GMOD Meeting, April 2004 Don Gilbert,
The “über-ontology” (Uberon) Melissa Häendel, Chris Müngall, George Gkoütos Cell Ontology Workshop May, 2010.
Web Databases for Drosophila Introduction to FlyBase and Ensembl Database Wilson Leung6/06.
Linking Animal Models and Human Diseases Supported by NIH P41 HG002659, U54 HG004028, & R01 HG Cambridge University & the University of Oregon.
Functional Annotation and Functional Enrichment. Annotation Structural Annotation – defining the boundaries of features of interest (coding regions, regulatory.
Phenote Mark Gibson Berkeley Bioinformatics and Ontology Project (BBOP) National Center for Biomedical Ontologies(NCBO) Lawrence Berkeley National Lab.
Basic Local Alignment Search Tool BLAST Why Use BLAST?
I NTRODUCTION TO DATABASES - P RACTICAL. Q UERY S EQUENCE >my weird new protein MNGTEGPNFYVPFSNATGVVRSPFEYPQYYLAEPWQFSMLAAYMFLLIVLGFPINFLTLYVTVQHKKLRT.
Scope of the Gene Ontology Vocabularies. Compile structured vocabularies describing aspects of molecular biology Describe gene products using vocabulary.
Phenote Mark Gibson Berkeley Bioinformatics and Ontology Project (BBOP) National Center for Biomedical Ontologies(NCBO) Lawrence Berkeley National Lab.
Phenotype And Trait Ontology (PATO) and plant phenotypes
Gene Ontology Consortium The Pathogen Group Schizosaccharomyces pombe Genome Sequencing Project DictyBase.
Anatomy Ontologies & Potential Users: Bridging the Gap Ravensara Travillian European Bioinformatics Institute
EQ: WHAT ARE THE DIFFERENT TYPES OF DOMINANCE AND HOW DO THEY AFFECT PHENOTYPES? Types of Dominance.
Sequence-Structure-Function Sequence Structure Function Threading Ab initio BLAST Folding: impossible but for the smallest structures Function prediction.
The Vertebrate Bridging Ontology (VBO) Ravensara Travillian, James Malone, Chao Pang, John Hancock, Peter W.H. Holland, Paul Schofield, and Helen Parkinson.
BLAST: Basic Local Alignment Search Tool Robert (R.J.) Sperazza BLAST is a software used to analyze genetic information It can identify existing genes.
A statistical method for comparing phenotypes in the OBD
Predicting Results of Monohybrid Crosses
Chicken QTL Phenotype Ontology
Phenote Mark Gibson Berkeley Bioinformatics and Ontology Project (BBOP) National Center for Biomedical Ontologies(NCBO) Lawrence Berkeley National Lab.
The Teleost Anatomy Ontology: computable evolutionary morphology for teleost fishes Wasila Dahdul University of South Dakota & National Evolutionary Synthesis.
Outline Motivation: data mining Ontologies and all-some relationships
The Common Anatomy Reference Ontology (CARO) and queries across species Melissa Haendel ZFIN.
Basics of Comparative Genomics
The Human-Mouse: Disease Connection in MGI (BETA)
Phenoscape Data Jamboree 2
Gene Interactions Chapter 6, Part b
A bioinformatic analysis of microRNAs role in osteoarthritis
Epistatic Gene Interactions
Relationship between Genotype and Phenotype
Basic Local Alignment Search Tool
Relationship between Genotype and Phenotype
Predicting Results of Monohybrid Crosses
Shinsuke Ohba, Xinjun He, Hironori Hojo, Andrew P. McMahon 
Epistatic Gene Interactions
Genetics: Sex-Linked Inheritance
Evan G. Williams, Johan Auwerx  Cell 
Basics of Comparative Genomics
Different Plant Hormones Regulate Similar Processes through Largely Nonoverlapping Transcriptional Responses  Jennifer L. Nemhauser, Fangxin Hong, Joanne.
Volume 16, Issue 10, Pages (May 2006)
Forward and reverse genetic approaches in Drosophila.
The Drosophila pipeline for modeling human disease.
Peter Swoboda, Haskell T. Adler, James H. Thomas  Molecular Cell 
DNA AND RNA 12-5 Gene Regulation.
Heather M. Young, Lincon A. Stamp  Gastroenterology 
Predicting Gene Functions from Text Using a Cross-Species Approach
Presentation transcript:

Linking Animal Models and Human Diseases Supported by NIH P41 HG002659 and U54 HG004028 Cambridge University & the University of Oregon

Yvonne Bradford Melissa Haendel Kevin Schaper Erik Segerdell Amy Singer Sierra Taylor Michael Ashburner Rachel Drysdale George Gkoutos David Sutherland BBOP Mark Gibson Suzi Lewis Chris Mungall Nicole Washington

Linking Animal Models and Human Diseases Develop methods to: Describe phenotypes Compare descriptions (annotations) Search phenotypes within and across species

EYA gene mutants zebrafish zebrafish fly human

Mutant Gene Mutant or missing Protein Mutant Phenotype (disease) Animal disease models Humans Animal models Mutant Gene Mutant or missing Protein Mutant Phenotype (disease) Mutant Gene Mutant or missing Protein Mutant Phenotype (disease model)

Mutant Gene Mutant or missing Protein Mutant Phenotype (disease) Sequence analysis (BLAST) can connect animal genes to human genes Humans Animal models Mutant Gene Mutant or missing Protein Mutant Phenotype (disease) Mutant Gene Mutant or missing Protein Mutant Phenotype (disease model)

Mutant Gene Mutant or missing Protein Mutant Phenotype (disease) Shared ontologies and syntax can connect mutant phenotypes to candidate human disease genes Humans Animal models Mutant Gene Mutant or missing Protein Mutant Phenotype (disease) Mutant Gene Mutant or missing Protein Mutant Phenotype (disease model)

Annotation of eya mutant phenotype = entity + quality EQ1 = eye + small

Linking Animal Models and Human Diseases Develop methods to: Describe phenotypes Compare descriptions (annotations) Search phenotypes within and across species

Strategy: use shared genes as proof of principle OMIM genes ZFIN mutant genes FlyBase mutant genes

Data type Total ZFIN genes 20,385 Genes with assigned human orthologs 2,884 Genes with OMIM links 2,174 ZFIN mutants 3,188 ZFIN mutants with OMIM links Corresponding human genes Drosophila homologs of these 271 720 271 187

Experimental design Annotate phenotypes in human, zebrafish, and fly Annotate human phenotypes triple blind Compare annotations + FlyBase OBD BBOP + ZFIN

Results: Number of annotations added to OBD Human Curate OMIM gene and disease data into OBD using EQ syntax Zebrafish Curate zebrafish mutant phenotype data into OBD using EQ syntax

Results: Number of annotations added to OBD Human Curate OMIM gene and disease data into OBD using EQ syntax 10 genes 677 EQ annotations from ZFIN 314 EQ annotations from Flybase 507 EQ annotations from BBOP Zebrafish Curate zebrafish mutant phenotype data into OBD using EQ syntax 4,355 genes and genotypes into OBD 17,782 EQ annotations into OBD

~10% of the annotations for 1 gene We need a quantitative method to calculate the similarity of annotations

Annotations vary among curators

Example phenotype annotation E = facial ganglion + Q = morphology influences Query: Gene variant E = facial ganglion + Q = morphology

Terms are related by ontologies epibranchial ganglion is_a influences Query: Gene variant E = facial ganglion + Q = morphology

Terms are related by ontologies cranial ganglion is_a epibranchial ganglion is_a influences Query: Gene variant E = facial ganglion + Q = morphology

Terms are related by ontologies ganglion Similar annotations have the same or more general entity types is_a cranial ganglion is_a epibranchial ganglion is_a influences Query: Gene variant E = facial ganglion + Q = morphology

Similarity calculated by reasoning across ontologies ganglion Similar annotations have the same or more general entity types is_a cranial ganglion is_a epibranchial ganglion is_a influences Query: Gene variant E = facial ganglion + Q = morphology is_a shape structure size Similar annotations have the same or more specific PATO qualities Similarity between two genotypes is weighted by: the total number and rarity of similar annotations, and the degree of relatedness within each ontology. is_a convex folded wavy

Ontologies support comparisons Curator 1 Curator 2 Curator 3 At the intersection of different curators’ term choices, colors merge, with white indicating consensus among all 3

Ontologies support comparisons Curator 1 Curator 2 Curator 3 At the intersection of different curators’ term choices, colors merge, with white indicating consensus among all 3

Subsumption in similarity scoring Gene Genotype Quality Anatomical Entity Morphology Organ Shape Part of organ Thickness Cranial nerve Increased thickness Vestibulo- cochlear nerve Trigeminal nerve Perforated Wall of heart Deformed Retina GeneA A-001 + A-002 A-003 Gene B B-001 B-002 B-003 p value 0.99 0.6 0.3 1.1e-4 3.2e-5 6.1e-6 2.0e-7 1.9e-6 Unlikely to match by chance Black = actual annotations; red = subsumption

Average annotation consistency among curators total annotations # Annotations similar annotations We can quantitate similarity and, thus, optimize consistency EYA1 SOX10 SOX9 PAX2 congruence 0.78 0.71 0.61 0.72

Linking Animal Models and Human Diseases Develop methods to: Describe phenotypes Compare descriptions (annotations) Search phenotypes within and across species

Phenotypes identify other alleles of the same gene Example: A search for phenotypes similar to each human EYA1 allele returns other human EYA1 alleles Similarity between two genotypes is weighted by: the total number and rarity of similar annotations, and the degree of relatedness within each ontology.

Phenotypes identify other alleles of the same gene Example: A search for phenotypes similar to each human EYA1 allele returns other human EYA1 alleles Allele number Allele number Similarity between two genotypes is weighted by: the total number and rarity of similar annotations, and the degree of relatedness within each ontology. (The smaller the number, the more similar)

Human phenotypes identify mutations in orthologous model organism genes A search for phenotypes similar to: Human EYA1 variant OMIM:601653 MP:deafness = E = Sensory perception of sound Q = absent These similarities are based on the same GO term entity. Anatomical cross-species queries require classification of anatomical structures, in the different species, based on function and/or homology.

Human phenotypes identify mutations in orthologous model organism genes A search for phenotypes similar to: Human EYA1 variant OMIM:601653 MP:deafness = E = Sensory perception of sound Q = absent returns: Mouse Eya1 bor/bor and Eya1tm1Rilm/tm1Rilm E = Sensory perception of sound Q = decreased These similarities are based on the same GO term entity. Anatomical cross-species queries require classification of anatomical structures, in the different species, based on function and/or homology.

Problem: different terms are used in different species mouse:EYA1 MGI MP:abnormal vestibulocochlear nerve morphology MGI:nnn eya1 variant nn Homologene: EYA1 human:EYA1 NCBO inheres_in PATO:decreased thickness OMIM:601653.nn EYA1 variant FMA:cochlear nerve zebrafish:eya1 ZFIN inheres_in PATO:decreased thickness ZFIN:geno-nnn Eya1 variant nn ZFA:cranial nerve VIII

Searches across species utilize homology annotations mouse:EYA1 MGI MP:abnormal vestibulocochlear nerve morphology MGI:nnn eya1 variant nn mammalian phenotype decomposed into EQ = Homologene: EYA1 inheres_in PATO:morphology MA:vestibulocochlear VIII nerve human:EYA1 NCBO inheres_in PATO:decreased thickness FMA:vestibulocochlear nerve OMIM:601653.nn EYA1 variant FMA:cochlear nerve zebrafish:eya1 ZFIN inheres_in PATO:decreased thickness homology annotations ZFIN:geno-nnn Eya1 variant nn ZFA:cranial nerve VIII

Animal annotations can identify human diseases (Campomelic dysplasia) Human, SOX9 (Campomelic dysplasia) Zebrafish, sox9a (jellyfish) Scapula: hypoplastic Scapulocorocoid: aplastic Curation of mutant phenotypes and human diseases using common ontologies & syntax can provide candidate genes and animal models of disease Lower jaw: decreased size Cranial cartilage: hypoplastic Heart: malformed or edematous Heart: edematous Phalanges: decreased length Pectoral fin: decreased length Long bones: bowed Cartilage development: disrupted

Annotations can identify other pathway members Similarity search for zebrafish shhat4/t4 identifies pathway members Genotype Congruence # of alleles Function disp1ty60 9.6E-19 6 regulates long range Shh signaling gli1ts269 6.6E-13 2 downstream transcriptional repressor wnt5bte1c 4.3E-11 5 downstream target gene smohi1640Tg 4.1E-11 4 membrane protein mediates Shh intracellular signaling pathway hhiphu540a 3.1E-5 binds Shh in membrane Shha Disp1 Gli1

Linking Animal Models and Human Diseases Develop methods to: Describe phenotypes Compare descriptions (annotations) Search phenotypes within and across species